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where open models feel surprisingly good - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: LLM Models (https://www.datasculpting.ai/inference/forumdisplay.php?fid=12) +--- Forum: Proprietary / Frontier (https://www.datasculpting.ai/inference/forumdisplay.php?fid=48) +--- Thread: where open models feel surprisingly good (/showthread.php?tid=921) Pages:
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where open models feel surprisingly good - dockworks23 - 10-08-2026 Spent some time on this today and wanted to compare notes. I've gone back and forth between vLLM and PyTorch for Mixtral. The interesting difference for me has been speculative decoding. Interested in tradeoffs more than fan loyalty. Re: where open models feel surprisingly good - cozysmith - 10-10-2026 Good point. The pattern around INT4 has been pretty similar for me. Re: where open models feel surprisingly good - northhall88 - 10-11-2026 Quote:Good point. The pattern around INT4 has been pretty similar for me. What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with FLUX and compare from there. Re: where open models feel surprisingly good - routecraft - 10-12-2026 Quote:Quote:Good point. The pattern around INT4 has been pretty similar for me. A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt? Re: where open models feel surprisingly good - signaltrack44 - 10-13-2026 Appreciate the detail. I ended up in about the same place using vLLM. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: where open models feel surprisingly good - northgarden37 - 10-13-2026 Appreciate the detail. The pattern around consumer GPUs has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: where open models feel surprisingly good - vectorpoint - 10-16-2026 A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at INT4. Re: where open models feel surprisingly good - kernelarch - 10-16-2026 My first guess would be this: On dual 3090, the easiest win is often to back off the aggressive settings and see whether the problem survives. Re: where open models feel surprisingly good - flintriver50 - 10-17-2026 I tested this tonight. My result was mixed: first run looked bad, second run looked normal. Re: where open models feel surprisingly good - sanepeak48 - 10-18-2026 Appreciate the detail. That matches what I saw on 4090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. |